iPhone 15 Pro (CPU, LP) iPhone 15 Pro
Geekbench AI Score
1814
Single Precision Score
3051
Half Precision Score
2655
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yonis |
| Upload Date | August 15 2024 09:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
782
145.4 IPS |
|
|
Image Classification (HP)
|
100% |
1210
225.1 IPS |
|
|
Image Classification (Q)
|
99% |
1195
222.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1161
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
7060
8.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
6323
7.41 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
97% |
1487
118.4 IPS |
|
|
Object Detection (Q)
|
94% |
1041
83.0 IPS |
|
|
Face Detection (SP)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
2941
35.0 IPS |
|
|
Face Detection (Q)
|
100% |
1640
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3192
24.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5871
45.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
5881
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9349
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13867
17.8 IPS |
|
|
Style Transfer (Q)
|
100% |
13864
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2286
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1899
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2428
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3065
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3092
53.4 IPS |
